Jetson Orin NX Carrier Board – High Performance AI Edge Computing

The Oppila’s Orin Mini Carrier Board is a high-performance embedded vision and compute platform built around NVIDIA’s Jetson Orin Nano and Orin NX modules. It supports the full performance of these modules, including Super Mode, enabling maximum AI throughput for demanding real-time applications. The board is designed for seamless integration with Sony FCB-EV series LVDS cameras, FCB-EV9500M MIPI cameras, and it can also interface with FCB-ER8530 and FCB-ER9500 4K HDMI cameras through optional bridge modules. This platform delivers powerful AI processing, real-time video encoding, and flexible interfacing, making it ideal for UAVs, defence imaging systems, robotics platforms, and edge-AI vision applications.

The board supports a 1 Gbps Ethernet stream through a compact JST 1.0 mm connector, enabling efficient network-based video transmission and remote AI-assisted analytics. A micro-HDMI output allows convenient local monitoring when required. For expansion, the board includes both M.2 Key E and M.2 Key M slots, supporting Wi-Fi/Bluetooth modules and NVMe SSDs to provide high-speed wireless connectivity and onboard storage. Additional interfaces such as I²C, CAN, SPI, and GPIO offer extensive system-level control and customization options.

Dual UART channels with 3.3 V CMOS levels allow simultaneous VISCA protocol control of multiple Sony FCB cameras, while a dedicated RS-422 interface ensures long-distance, noise-immune communication with external peripherals. A CR1216 RTC battery holder is included to maintain accurate timestamping in embedded or remote applications. Power input is provided through an XT30 connector, supported by onboard regulation and LED indicators for system and power status.

Featuring a compact 90 × 60 mm footprint, industrial-grade construction, and an operating temperature range of –20 °C to +85 °C, the Oppila Orin Carrier Board offers rugged reliability and top-tier performance for next-generation intelligent vision systems.

Typical Applications Include:

• AI Edge Computing and Vision Analytics
• Multi-Camera Networked Vision Systems
• Robotics and Autonomous Platforms
• Industrial & Machine Vision Systems
• Defense and Security Imaging
• UAV / ROV Payloads
• Smart Surveillance and Remote Monitoring
• Embedded Vision Research & Prototyping